Browsing UT - Faculty of Mathematics and Natural Sciences by Subject "Content based image retrieval"
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Algoritme Genetika untuk Optimasi Pembobotan Fitur pada Temu Kembali Citra
(2009)Content based image retrieval is developed to retrieve image based on color, shape, and texture feature. One of the problems to be solved in content based image retrieval is how to combine these features to get the optimum ... -
Performance Comparison of Feature Weighting on Content Based Image Retrieval Using Bayesian Network and Genetic Algorithm
(2010)This research proposes performance comparison on image retrieval using bayesian network and genetic algorithm, which combines color, shape and texture information. Histogram-162 is used for color feature, edge direction ...

